Microgrids (MGs) provide a promising solution by enabling localized control over energy generation, storage, and distribution. This paper presents a novel reinforcement learning (RL)-based
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Hybrid AC/DC microgrids have emerged as a promising solution for integrating diverse renewable energy sources, enhancing efficiency, and strengthening resilience in modern power
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In this paper, an AC-DC hybrid micro-grid operation topology with distributed new energy and distributed energy storage system access is designed, and on this basis, a coordinated control...
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A novel enhanced distributed coordinated control framework, based on adaptive event-triggered mechanisms, is developed for the efficient management of multiple hybrid energy storage
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The authors emphasize the fundamental importance of control and estimation techniques in intelligent microgrid operations, regardless of the microgrid network''s specific types, structures,
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The state of the art on microgrid operation typically considers a flat and static partition of the power system into microgrids that are coordinated via either centralized or distributed control
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This paper introduces an innovative coordinated energy management approach that combines Droop control, Adaptive Filter-Based methods, and Fuzzy Logic control techniques to
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Different control problems in a MG system such as frequency and voltage stability, load balancing, bidirectional power flow with EV integration, power quality improvement, energy
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Power management techniques for these microgrids are among the most important operational aspects. This paper provides a systematic review on numerous schemes to control
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Multiple control objectives are developed, aiming to eliminate DC fluctuation, reduce AC distortion and imbalance, and achieve negative sequence current sharing among distributed
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